Research on AI-Assisted Teaching Strategies and Educational Technology System Models

The application of AI-assisted teaching has become a global trend. Artificial intelligence was first proposed by John McCarthy. Early AI education applications were mainly concentrated in intelligent tutoring systems, which provided students with one-to-one tutoring support through tracking and analysis of user portraits and usage data. This study aims to construct an AI-assisted education system model through questionnaire analysis. Relevant questionnaires were designed, and factor analysis was performed using SPSS 25.0 to obtain eight dimensions of the AI-assisted teaching model: learning progress and behavior analysis, self-management and learning optimization, autonomous learning effectiveness management, learning content management, autonomous resource selection and design, resource integration and expansion support, individual skill improvement support, and personalized growth assistance. These findings provide a basis for the creation and updating of AI education models. In addition, through the use of UCINET software for visualization analysis, the results show that in the AI-assisted system, study assistance suggestions. Based on these findings, the application of AI in future classrooms will have greater innovative potential.